Nebius AI vs Crusoe Cloud: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Nebius AI and Crusoe Cloud. Updated July 2026.
Provider Overview
Strengths & Best For
Nebius AI (formerly Yandex Cloud international) is a European AI-focused cloud offering H100, H200, and A100 GPU clusters with competitive pricing and full EU data residency for GDPR-compliant AI training and inference. On-demand, spot, and reserved billing options are available, making it one of the most flexible European GPU cloud choices for cost-sensitive teams. A strong alternative to hyperscalers for EU-based organizations that cannot send data outside European borders.
- EU data residency
- Competitive H100/H200 pricing
- Spot availability
- GDPR compliant
Crusoe Cloud powers H100 SXM5 and B200 GPU instances using stranded and renewable energy sources, making it one of the few carbon-negative on-demand GPU cloud providers in the US. Competitive pricing on H100 clusters for AI training and LLM fine-tuning, with a mission to reduce the carbon footprint of large-scale compute. An ideal choice for ESG-conscious enterprises and AI labs that want high-performance hardware without the environmental cost.
- Clean energy compute
- Competitive H100 pricing
- B200 availability
- Carbon-negative mission
Live GPU Pricing
Region Coverage
Popular Comparisons
Nebius AI — specialist provider
Nebius AI (formerly Yandex Cloud international) is a European AI-focused cloud offering H100, H200, and A100 GPU clusters with competitive pricing and full EU data residency for GDPR-compliant AI training and inference. On-demand, spot, and reserved billing options are available, making it one of the most flexible European GPU cloud choices for cost-sensitive teams. A strong alternative to hyperscalers for EU-based organizations that cannot send data outside European borders.
Crusoe Cloud — specialist provider
Crusoe Cloud powers H100 SXM5 and B200 GPU instances using stranded and renewable energy sources, making it one of the few carbon-negative on-demand GPU cloud providers in the US. Competitive pricing on H100 clusters for AI training and LLM fine-tuning, with a mission to reduce the carbon footprint of large-scale compute. An ideal choice for ESG-conscious enterprises and AI labs that want high-performance hardware without the environmental cost.
Billing model comparison
Nebius AI uses a On-demand, Spot, Reserved billing model with a minimum commitment of None. Crusoe Cloud uses On-demand, Reserved billing with a None minimum. Both providers offer flexible billing options — compare the live pricing table above to find the best rate for your specific GPU model and workload duration.
Which workloads each provider suits best
Nebius AI is best suited for: EU-based AI teams, GDPR-sensitive workloads, Cost-conscious training. Its key strengths are eu data residency, competitive h100/h200 pricing, spot availability. Crusoe Cloud is best suited for: Sustainability-focused teams, Large-scale AI training, ESG-conscious enterprises. Its key strengths are clean energy compute, competitive h100 pricing, b200 availability. Both providers target similar workload profiles — the live pricing table above is the most reliable way to determine which offers better value for your specific GPU model and region requirements.
Support tiers and region coverage
Nebius AI offers Standard → Enterprise support across 2 regions (EU-West, US-East). Crusoe Cloud offers Standard → Enterprise support across 2 regions (US-West, US-Central). Both providers have comparable region coverage — choose based on which specific regions overlap with your user base or data residency requirements.
Provider background: Nebius AI vs Crusoe Cloud
Nebius AI was founded in 2023 and is headquartered in Amsterdam, Netherlands. Crusoe Cloud was founded in 2018 and is headquartered in San Francisco, CA. Crusoe Cloud has 5 years more operational history than Nebius AI, which may matter for teams evaluating provider stability and long-term contract risk. Use the live pricing table above to compare current on-demand and spot rates for specific GPU models, and the region map to verify coverage in your target geography.